中文摘要：

针对传统列车固定模型难以描述和控制具有时变、非线性等特征的高速列车运行过程问题，本文提出时变遗忘因子的高速列车自适应子空间预测控制方法。首先基于列车状态空间模型描述构建列车的增量式子空间预报模型；接着融合子空间辨识与反馈校正的思想得到时变遗忘因子的列车自适应模型，进而分析高速列车自适应子空间预测控制器的设计方法，并给出相应的控制算法。最后进行高速列车运行过程控制的仿真对比实验，结果表明本文控制方法在高速列车正常运行及强干扰情况下的预测跟踪控制性能是有效的。

英文摘要：

In view of the inaccurate description and control of the high-speed operation process which is time-varying and nonlinear, by the traditional fixed train model, the adaptive subspace predictive controller based on time-varying forgetting factors was designed for high-speed trains. Firstly, the incremental subspaee prediction model of high-speed trains was established on the basis of the state space model. Secondly, the adaptive model with time-varying forgetting factors was obtained by combination of subspaee identification and feedback correction, then the design method of the adaptive subspace predictive controller for high-speed trains was given in detail, and control algorithm was presented. Finally, numerical simulation study on high-speed train operation control was implemented. The results show the enhanced performance of the proposed method in the different simulation condition of normal and strong interference for high-speed train operation.